什么是数据治理,数据治理包含哪些方面？大数据时代的到来，给了我们很多的机遇，也有很多的挑战。最基础的调整也是大数据的计算和管理，数据治理是一个特别重要的大数据基础，他保证着数据能否被最好的应用，保证着数据的安全，治理等。那么数据治理到底能治什么，怎么治？
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主数据管理
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元数据管理
元数据，即数据的数据。包含两个个方面，技术元数据、业务元数据。用于打通了源数据、数据仓库、数据应用，记录了数据从产生到消费的全过程。元数据主要记录数据仓库中模型的定义、各层级间的映射关系、监控数据仓库的数据状态及 ETL 的任务运行状态。
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- 技术元数据
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* 分布式计算系统运行元数据，如集群上所有作业运行信息，类似于Hive Job 日志，包括作业类型、实例名称、输入输出、 SQL 、运行参数、执行时间、最细粒度的Instance 执行信息等。数据同步、计算任务、任务调度等信息，包括数据同步的输入输出表和字段，以及同步任务本身的节点信息，计算任务主要有输入输出、任务本身的节点信息，任务调度主要有任务的依赖类型、依赖关系等，以及不同类型调度任务的运行日志等。
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- 业务元数据
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数据标准
数据标准建设提供全面完整的数据标准管理流程及办法，用于决定和建立单一、准确、权威的事实来源，实现大数据平台数据的完整性、有效性、一致性、规范性、开放性和共享性管理，并为数据质量检查、数据安全管理提供标准依据。比如，”客户类型”是一个数据项，应该有统一的业务含义，将客户归类为大客户、一般客户的规则是什么，数据项的取值是几位长度，有哪些有效值（如01，02，03）等。这方面有国际标准可以参考，如ISO11179，国内很多行业也制定了行业数据标准，如电子政务数据元、金融行业统计数据元等等。共同的问题是，标准定义出来之后，执行的情况怎么样？是否真正落实到IT系统了，谁为数据的管理者等。
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数据质量管理
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* 完整性：数据完整且连续
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数据安全管理
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数据计算管理
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数据存储管理
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参考文章：数据仓库(11)什么是大数据治理，数据治理的范围是哪些
Original: https://www.cnblogs.com/the-pig-of-zf/p/16230557.html
Author: 张飞的猪
Title: 数据仓库(11)什么是大数据治理，数据治理的范围是哪些
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